Paper: MayoClinicNLP–CORE: Semantic representations for textual similarity

ACL ID S13-1021
Title MayoClinicNLP–CORE: Semantic representations for textual similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

The Semantic Textual Similarity (STS) task examines semantic similarity at a sentence- level. We explored three representations of semantics (implicit or explicit): named enti- ties, semantic vectors, and structured vectorial semantics. From a DKPro baseline, we also performed feature selection and used source- specific linear regression models to combine our features. Our systems placed 5th, 6th, and 8th among 90 submitted systems.